Search Results for "pentaho data integration"

GritQL is a query language designed to facilitate human-AI collaboration by providing an intuitive interface for querying and retrieving structured data. It acts as a bridge between AI models and databases, enabling natural language interaction with structured data sources.

Agda is a dependently typed, total functional programming language and interactive theorem prover based on Martin-Löf’s type theory. It allows expressing programs and proofs in the same language, using the Curry–Howard correspondence. It features interactive development via Emacs, Atom, or VS Code. Agda is a dependently typed functional programming language. It has inductive families, i.e., data types which depend on values, such as the type of vectors of a given length. It also has...

...The core distribution is highly portable, building on Unix, Linux, Windows, and many other platforms, with stable release cycles and careful back-compatibility. A C API (XS) and embedding APIs allow tight integration with native libraries and host applications, while the CPAN ecosystem supplies hundreds of thousands of reusable modules. Development emphasizes robust tests (t/), meticulous changelogs, and tooling like perldoc to keep the language approachable and dependable. In practice, Perl 5 remains a workhorse for sysadmin automation, data munging, web services, and any task where flexible, expressive text handling is paramount.

AssemblyScript is a TypeScript-like programming language specifically designed to compile into WebAssembly, enabling developers to write high-performance code using familiar JavaScript syntax. It introduces static typing and low-level control while maintaining compatibility with existing JavaScript tooling and workflows. The language is optimized for generating efficient and compact WebAssembly modules, making it suitable for performance-critical applications in both browser and server...

Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing.

...Because it runs deterministically and isolates execution from system state, it’s well-suited for reproducible build systems and other sandboxed environments. The Go implementation focuses on parallel scalability and easy integration into Go-based projects.

...Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard. ...